Principal Data Scientist - Generative AI, Machine Learning, Python, R - Remote

Lensa; Detroit (MI); Remote; USD 120,000 - 160,000; Full time

Job summary

A leading company in healthcare is seeking a Principal Data Scientist to oversee data science projects, manage a team, and align data initiatives with business goals. The role involves developing AI solutions and ensuring ethical data use while collaborating with cross-functional teams. Ideal candidates will have extensive experience in data science, particularly in healthcare, and strong programming skills in Python and R.

Qualifications

• 10+ years’ experience as a data scientist, preferably in healthcare.
• Strong programming skills in Python and R.

Responsibilities

• Oversee data science projects and mentor a team.
• Lead development and implementation of data models.
• Deploy models into production and monitor performance.

Skills

Critical thinking

Problem-solving

Python

R

Data visualization

Analytical skills

Education

Master’s Degree in Computer Science

Master’s Degree in Data Science

Master’s Degree in Statistics

Tools

Hadoop

Spark

TensorFlow

Keras

PyTorch

Tableau

Power BI

SQL

NoSQL

Job description

Principal Data Scientist - Generative AI, Machine Learning, Python, R - Remote

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Job Description

Job Summary

Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model operations to comply with regulatory and security standards. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and to pioneer generative AI healthcare solutions that aim to revolutionize healthcare operations and enhance member experience.

Job Duties

• Research and Development: Stay current with AI and machine learning advancements, applying these insights to improve existing models and develop new methodologies.
• AI Model Deployment, Monitoring & Governance: Deploy models into production, monitor performance, and adjust as needed to maintain accuracy and compliance.
• Innovation Projects: Lead pilot initiatives to test and implement new AI technologies.
• Data Analysis and Interpretation: Extract insights from complex datasets, identify patterns, and inform strategic decisions.
• Machine Learning Model Development: Design, develop, and train models using various algorithms, including deep learning and reinforcement learning.
• Agentic Workflows Implementation: Develop workflows utilizing AI agents for autonomous tasks to improve operational efficiency.
• RAG Pattern Utilization: Use retrieval-augmented generation techniques to enhance language model performance.
• Model Fine-Tuning: Adapt pre-trained models for specific tasks to ensure optimal performance.
• Data Cleaning and Preprocessing: Prepare data for analysis, ensuring high quality inputs.
• Collaboration: Work with cross-functional teams to integrate AI solutions into existing systems.
• Documentation and Reporting: Document models and methodologies; communicate findings to stakeholders.
• Mentorship: Guide and support less experienced data scientists.
• Partnerships: Collaborate with business and technology teams to build models that improve key metrics like Star ratings and care gaps.
• Presentation: Clearly communicate complex analytical insights to diverse audiences.
• Additional Duties: Adapt to changing business needs, identify data and technological solutions, and refer opportunities to relevant teams.
• Industry Trend Analysis: Use various tools and techniques to extract insights from industry trends.

Job Qualifications

Required Education: Master’s Degree in Computer Science, Data Science, Statistics, or related field

Required Experience/Skills

• 10+ years’ experience as a data scientist, preferably in healthcare but open to other industries
• Knowledge of big data technologies (e.g., Hadoop, Spark)
• Familiarity with relational databases and SDLC concepts
• Critical thinking and problem-solving skills
• Strong programming skills in Python and R; experience with frameworks like TensorFlow, Keras, or PyTorch
• Understanding of statistical methods and machine learning algorithms (k-NN, Naive Bayes, SVM, neural networks)
• Experience with designing agentic workflows and RAG techniques
• Proven ability to fine-tune models
• Proficiency in data visualization tools (e.g., Tableau, Power BI)
• Experience with SQL, NoSQL, data warehousing, and ETL processes
• Analytical and innovative problem-solving skills

Preferred Education

PHD or additional relevant experience

Preferred Experience

• Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio)
• Familiarity with NLP and computer vision techniques